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High-throughput Plasmonic Functional Assay Platform for Rapid Therapeutic Profiling of Cancer Cells

  • Mehmet Kocagöz
  • , Fatma Kurul
  • , Seda Nur Topkaya
  • , Ziya Ata Yazici
  • , Ozden Yalcin-Ozuysal
  • , Arif E. Cetin*
  • *Corresponding author for this work
  • Izmir Biomedicine and Genome Center
  • Izmir Institute of Technology
  • Dokuz Eylul University

Research output: Contribution to journalConference articlepeer-review

Abstract

Functional assay platforms offer a powerful approach for assessing drug treatments by directly probing cellular responses. However, their clinical translation is limited due to long assay times, bulk measurements, and low throughput. In this study, we present a high-throughput plasmonic functional assay platform to determine the therapeutic profile of cancer cells at single-cell resolution by monitoring real-time mass and growth rate dynamics. The platform utilizes periodic plasmonic nanohole arrays and diffraction field imaging with a CMOS camera to simultaneously track hundreds of cells within a single field of view. Cellular mass accumulation or loss is quantified by intensity variations associated with plasmonic resonance shifts. These shifts enable rapid growth profiling without labels or long-term cell culture. MCF-7 breast cancer cells are used to demonstrate that the platform can identify drug-induced growth inhibition and therapeutic heterogeneity within only a few hours, well before conventional viability assays. Our system successfully distinguishes drug-sensitive and drug-resistant (DR) subpopulations and resolves synergistic and antagonistic effects emerging from different drug combinations and treatment strategies. As a result, this plasmonic functional assay platform provides a rapid and scalable tool for functional drug profiling and has strong potential for personalized cancer therapy applications with a scanning capacity of approximately 500 cells per hour.

Original languageEnglish
Article number1386904
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume13869
DOIs
Publication statusPublished - 2026
Event2026 23rd Plasmonics in Biology and Medicine - San Francisco, United States
Duration: 17 Jan 202623 Jan 2026

Bibliographical note

Publisher Copyright:
© 2026 SPIE. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cell growth
  • functional assays
  • nanohole arrays
  • nanotechnology
  • Plasmonics

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